A ROBUST TECHNIQUE IMPLEMENTATION FOR FACIAL RECOGNITION UNDER EIGEN FEATURE EXTRACTION
|Soninder Singh Garcha1, Harpreet Kaur2
|Related article at Pubmed, Scholar Google|
This paper presents a Robust Technique implementation for facial recognition under Eigen feature extraction and further matching with testing image. In face recognition totally based on mathematical pattern recognition technique i.e extraction feature of eigen values for face of an image, training set is taken to train system with these images. During training are front postures of human being ion testing section various attacks are applied on image of human example noise, left poses, right poses, blurriness etc On these effects results are calculated to recognize the face on bases of eigen values and calculation is done on basis of distance and time and accuracy. System give a accurate value i.e 2.0 or 0.3 that what portion of the image are matched instead of YES or NO in traditional system(PCA,LDA etc.).